Smart activities monitoring (sam) processing of data

Abstract

A comprehensive, secure cloud computing-based system for monitoring and managing personal wellness by employing unobtrusive wireless sensors to track the activities of daily living (ADLs) of a person in their premises and positively engage remote support when care plan deviations are detected, via a variety of communications methods.

What is claimed is: 
     
         1 . A cloud-based activities measuring and monitoring system for the health and well-being of a subscriber comprising:
 a platform,   an engagement web in communication with the platform; the engagement web further comprising at least one sensor and at least one interactive health and well-being assistant;   an off-site cloud computing network in communication with the platform and configured to analyze data from the platform and other external sources;   wherein the at least one sensor is configured to collect event data and communicate the event data with the platform; and   wherein the at least one interactive health and well-being assistant is configured to engage with the subscriber, and is configured for two-way communication.   
     
     
         2 . The system of  claim 1 , wherein the platform further comprises an HTTPS-based interface to send and receive data to the cloud computing network. 
     
     
         3 . The system of  claim 1 , wherein the event data includes activities of the subscriber;
 wherein the activities may include categories selected from physical, social, cognitive, emotional, and environmental.   
     
     
         4 . The system of  claim 3 , wherein the engagement web is remotely activatable by a secondary party creating a multi-way link between the subscriber and a secondary party 
     
     
         5 . The system of  claim 4 , wherein the secondary party is a caregiver, a health care provider, payor, or another interested party. 
     
     
         6 . The system of  claim 1 , wherein the at least one assistant comprises a microphone and a speaker. 
     
     
         7 . The system of  claim 6 , wherein the speaker is remotely and locally initiated. 
     
     
         8 . A method of measuring and monitoring the health and well-being of a subscriber comprising:
 distributing an engagement web in a living space, the engagement web comprising at least one sensor and at least one interactive health and well-being assistant having means for two-way communication and comprising a microphone and a speaker;   wherein the at least one sensor is configured to track an event having an alert threshold, the at least one sensor generating event data regarding attributes of the event; the at least one sensor being in communication with the at least one assistant distributed in the living space; and wherein the event data is relative to the alert threshold of the event;   connecting the engagement web to a platform within the living space, wherein the at least one sensor securely communicates event data to the platform; wherein the platform provides local infrastructure management and event data caching;   securely communicating the event data from the platform to a cloud-based operational support system, wherein the operational support system comprises a machine learning process running on a machine readable medium; and   wherein the machine learning process:
 compares the event data against the alert threshold; 
 determines whether the event data exceeds the alert threshold and if the event data exceeds the alert threshold an alert is activated; and 
 if an alert is activated, the machine learning process communicates the alert to a user, and wherein the alert is further communicated to a call tree. 
   
     
     
         9 . The method of  claim 8 , wherein the alert threshold comprises a plurality of thresholds. 
     
     
         10 . The method of  claim 8 , wherein the user is selected from the group including the subscriber, a caregiver, a healthcare provider, a payor, or an interested third party. 
     
     
         11 . The method of  claim 8 , wherein the alert threshold is adjustable by the operational support system as a result of the machine learning process, as well as the user. 
     
     
         12 . The method of  claim 8 , wherein the user is a subscriber in the living space and if an alert is activated and communicated to the subscriber, the at least one health and well-being assistant relays a communication message into the living space; wherein the communication message requires a response. 
     
     
         13 . The method of  claim 12 , wherein the communication method is relayed over a land-line, a cell phone, or the at least one interactive health and well-being assistant. 
     
     
         14 . The method of  claim 12 , wherein if the interactive health and well-being assistant does not detect an appropriate response, the operational support system sends a second communication message to another user. 
     
     
         15 . The method of  claim 12 , wherein the machine learning process further uses the response to analyze the well-being of the subscriber. 
     
     
         16 . The method of  claim 8 , wherein the alert is further communicated to a call tree, wherein the call tree is adjustable by the subscriber or another user. 
     
     
         17 . The method of  claim 8 , further comprising determining a routine of a subscriber and creating a baseline of activity. 
     
     
         18 . The method of  claim 17 , wherein the operational support system creates and adjusts the baseline of activity in response to variations in the subscriber's routine. 
     
     
         19 . The method of  claim 18 , wherein the operational support system sets and adjusts the event threshold with predictive analysis. 
     
     
         20 . A tangible non-transitory computer readable storage medium having instructions stored thereon that, when executed by a computing device, cause the computing device to perform operations comprising:
 receiving event data from a user in a living space based at least in part on information regarding the living space, wherein the event data is based on data collected from at least one sensor in the living space;   analyzing the event data and comparing the event data to positive and negative thresholds for the user's well-being; an event database storing thresholds;   determining if the user's well-being has a positive state or a negative state;   wherein if the user's well-being has a negative state:
 initiating a communication with the user in the living space via an assistant; 
 receiving a response from the user via the assistant; 
 analyzing voice characteristics of the user based on the response; and 
 initiating a call tree to communicate with secondary users; wherein if no response is received from the user, then initiating a call tree to communicate with secondary users.